DeepSpeedPrecisionPlugin

class pytorch_lightning.plugins.precision.DeepSpeedPrecisionPlugin(precision)

Bases: pytorch_lightning.plugins.precision.precision_plugin.PrecisionPlugin

Precision plugin for DeepSpeed integration.

backward(model, closure_loss, optimizer, opt_idx, should_accumulate, *args, **kwargs)

performs the actual backpropagation

Parameters

• model (LightningModule) – the model to be optimized

• closure_loss (Tensor) – the loss value obtained from the closure

• optimizer (Optimizer) – the optimizer to perform the step lateron

• opt_idx (int) – the optimizer’s index

• should_accumulate (bool) – whether to accumulate gradients or not

Return type

Tensor

clip_gradients(optimizer, clip_val, gradient_clip_algorithm=<GradClipAlgorithmType.NORM: 'norm'>, model=None)

DeepSpeed handles clipping gradients internally via the training type plugin.

Return type

None

pre_optimizer_step(pl_module, optimizer, optimizer_idx, lambda_closure, **kwargs)

Hook to do something before each optimizer step.

Return type

bool